JOURNAL ARTICLE

Fuzzy tracking control of singular multi-agent systems under switching topology

Jiawen LiYi ZhangJoseph H. W. LeeYingying Wang

Year: 2024 Journal:   AIMS Mathematics Vol: 9 (11)Pages: 29718-29735   Publisher: American Institute of Mathematical Sciences

Abstract

<p>The consensus tracking problem of leader-follower multi-agent systems (MASs) with singular structures on jointly connected topology is studied in this paper. To achieve the objective of consensus tracking, a distributed adaptive control protocol is formulated to adjust the coupling weights among the agents using the adaptive rate, where the adaptive protocol can be implemented by each agent in a fully distributed manner without using any global information. A fuzzy logic system method is used to deal with the nonlinear terms in response to the limitations of nonlinear system analysis. The consensus tracking problem is transformed into an error system stability analysis, and two sufficient conditions are provided to guarantee the control objective based on Lyapunov stability theory and singular system theory. Finally, the effectiveness of this method is verified through a simulation example.</p>

Keywords:
Topology (electrical circuits) Tracking (education) Control theory (sociology) Fuzzy logic Computer science Control (management) Fuzzy control system Multi-agent system Mathematics Artificial intelligence Psychology

Metrics

4
Cited By
3.35
FWCI (Field Weighted Citation Impact)
29
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering

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